We employ data-based approaches to identify the transmissions of structural shocks among investor attention measured by Google search queries, realised volatilities and trading volumes in United States, Kingdom German stock market. The two identification adopted for vector autoregressive analysis are based on independent component informational content disproportional variance changes. Our resu...

In computational theories of discourse, there are at least three processes presumed to operate under a limited attention constraint of some type: (1) ellipsis interpretation; (2) pronominal anaphora interpretation; and (3) inference of discourse relations between representations A and B of utterances in a discourse, e.g. B motivates A. In each case, the interpretation of the current element B o...

Economists have long been interested in the idea that there is a direct circular relation between poverty and low productivity, and not just one that is mediated by market failures, usually in asset markets. The nutrition-based e¢ ciency wage model (Dasgupta-Ray, 1987) is the canonical example of models where this happens: Howevrer it has been variously suggested (see for example Srinivasan, 19...

Abstract In a randomized field experiment, we show that low-cost intervention, weekly email reminders, increases the exercising frequency of gym members by 13%, with effect being larger for class training (19%) than free (11%). We find nearly all types individuals benefit from reminders (e.g., students, nonstudents, women, men, new members, recurring members), and this persists in three-month p...

Financial market prediction on the basis of online sentiment tracking has drawn a lot of attention recently. However, most results in this emerging domain rely on a unique, particular combination of data sets and sentiment tracking tools. This makes it difficult to disambiguate measurement and instrument effects from factors that are actually involved in the apparent relation between online sen...